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Threads inside a warp perform the same branch of the algorithm at the same time.
Threads that belong to a warp but do not execute the same branch of the algorithm are executed sequentially.
Otherwise terminate the branch of the algorithm.
If no such argument exists we terminate the branch of the algorithm.
We stop a branch of the algorithm as soon as no more changes to labelings are made.
In case there are several such arguments, we start a new branch of the algorithm for each choice.
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The knowledge is capitalized at three different levels: (i) to exclude redundant combinations of decision variables, (ii) to prioritize the branching of the algorithm, and (iii) to prune the binary tree.
However, even with this improvement, it can happen that several branches of the algorithm may produce the same candidate extension.
The preferred labeling 〈 { b }, { a, c }, ∅ 〉 will be produced by two branches of the algorithm, by the branch choosing a in the first step (and assign out to a) and then choosing c in the second step (and assigning out as well), but also by the branch selecting c first and then a in the second step.
In order to overcome the drawback as mentioned above, it is desirable to iterate the high-pass wavelet branch of the Mallat algorithm tree as well as the low-pass scaling function branch.
Instead, the number of clocks was in a first approach selected using an idea based on the gap statistic [26]: if there were actually k* clocks on the tree, then for kof branches, and the algorithm would not assign branches as it "should".
More suggestions(15)
sections of the algorithm
branch of the tree
branch of the service
branch of the family
branch of the strategy
branch of the Árpád
branch of the company
branch of the house
branch of the field
branch of the organization
branch of the Platform
branch of the bank
branch of the museum
branch of the shop
branch of the mistrust
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